Cannabis AI: A Tool for the Industry
As defined by IBM, Artificial intelligence (AI) is “technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision making, creativity and autonomy.” The use of this pattern-recognizing technology has quickly integrated into professional and personal realms; it is now nearly impossible to go even a full day without hearing the term “AI”. How does it affect the cannabis industry directly? Both benefits and detractors of AI cannabis use in the real world exist.
AI tools for cannabis can be used to innovate creative strategies, optimize marketing campaigns and develop compliant content, said Josefine Nowitz, co-founder of Newton, Mass.-based marketing agency Cannabis Creative Group.
“AI helps us steer content to be more friendly for a 21-plus audience while avoiding common pitfalls like content geared toward minors or showing consumption,” she said. “It’s a human-led tool that supports our strategies, but creativity and compliance still require a human touch.”
Cannabis AI also plays roles within manufacturing by bringing in automation options, such as packaging and quality testing. This type of new consideration of operations while complying with state-specific regulations has been valuable to many.
Artificial Intelligence for Cannabis Retailers
AI has been helpful to retailers in the area of customer experience. Using data from sales, AI can recommend products based on preference and purchase history, as well as send tailored offers, such as discounts for abandoned carts or recommendations for new products.
“AI segmentation keys allow dispensaries to identify at-risk customers or high-value shoppers and design campaigns to re-engage them. It’s a level of sophistication that smaller operators can now access without the need for extensive manpower,” said Rocco Del Priore, co-founder of Sweed, a software provider for marijuana stores.
Artificial intelligence for cannabis further supports compliance by streamlining document processing, tracking inventory and flagging potential violations in real time. AI tools for cannabis have also been used to assist with loss prevention, theft detection and video-based monitoring.
Cultivator Benefits within AI
Cultivation workers have also turned to AI for assistance. Using cannabis AI to monitor crops, optimize water and nutrient use, automate harvesting, and detect pests, many consider AI a tool that can drive better decisions, risk reduction and sustainable growth across the industry.
Breeders may also be able to design new strains and speed up their growing cycles by utilizing AI, a new study suggests. Researchers found that by inputting genetic markers, growth measurements, environmental data and chemical assays into AI models, thousands of potential crosses can be identified and simulated before planting a single seed.
“Machine learning allows for iterative simulations of breeding outcomes…while ensuring chemical consistency,” the authors concluded. “AI-enabled cannabis breeding represents a paradigm shift in strain development, enabling precise control over cannabinoid and terpene profiles while reducing breeding cycle times and resource requirements.”
Downsides to AI Cannabis Use
As with any new technology, it is prudent to consider the drawbacks to utilizing AI cannabis haphazardly. For growers, AI is not designed to identify the nuances of cultivation, either tiny or large. Issues can arise that include ignoring differences between plants, oversimplification of light requirements, as well as misunderstanding of feeding schedules and nutrient needs.
For marketing, biased data used to train the algorithms can lead to skewed or discriminatory outcomes. Reduction in human workers leads to job displacement, which can have significant economic and social consequences. Further, due to the high cost of investment, large corporations may become the only presence in the market; over-standardization may lead to a loss of regional cannabis varieties and artisanal cultivation techniques. Environmental impact concerns within the industry rise significantly when AI is involved, as cannabis AI itself requires substantial computational resources, contributing to increased energy and water consumption.
In recent news, Leafwell Inc. filed a federal lawsuit against fellow medical cannabis company, My Florida Green, alleging the competitor used artificial intelligence to fabricate legal claims as part of an extortion scheme designed to damage Leafwell’s business. According to the complaint filed in the U.S. District Court for the Middle District of Florida, My Florida Green allegedly filed a factually and legally deficient lawsuit in September 2025, which accused Leafwell of unlawful business practices, then used the litigation to pressure the company to settle the lawsuit, scare off business partners, and otherwise harm Leafwell’s operations. Leafwell claims the filings were AI-generated and lacked proper factual and legal grounding.
Have you integrated into the artificial intelligence cannabis world? What is your experience with this type of tool? Share your thoughts here and at a CannaCon trade show, the nation’s leading business-to-business cannabis conference. Register to attend a CannaCon cannabis event today!